Data Analyst 2

Primary Responsibilities:

• Collect, clean, and analyze data from various sources
• Design and maintain data pipelines to ensure data quality and integrity
• Develop and maintain reports and dashboards in excel and Power BI
• Utilize SQL and Python and PySpark for data manipulation and analysis
• Identify trends, patterns, and anomalies in data sets
• Collaborate with cross-functional teams to understand business requirements and translate them into data solutions
• Communicate findings and insights to stakeholders through reports and presentations
• Develop and implement predictive models using machine learning techniques
• Comply with the terms and conditions of the employment contract, company policies and procedures, and any and all directives (such as, but not limited to, transfer and/or re-assignment to different work locations, change in teams and/or work shifts, policies in regard to flexibility of work benefits and/or work environment, alternative work arrangements, and other decisions that may arise due to the changing business environment). The Company may adopt, vary or rescind these policies and directives in its absolute discretion and without any limitation (implied or otherwise) on its ability to do so

Required Qualifications:

• Bachelor's or Master's degree in data science, Statistics, Computer Science, or a related field
• Proven experience as a Data Scientist/Analyst or similar role
• Experience with data pipeline design and implementation
• Proficiency in SQL, Excel, Power BI, Python and PySpark
• Solid analytical and problem-solving skills
• Proven excellent communication and teamwork abilities

Preferred Qualifications:

• Experience with Azure cloud platform
• Experience with data visualization tools like Power BI
• Knowledge of machine learning frameworks